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Titlebook: Analysis of Climate Variability; Applications of Stat Hans Storch,Antonio Navarra Conference proceedings 1999Latest edition Springer-Verlag

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Arbeitsweisen des digitalen Storytellingstal records. This review examines in detail the reliability of temperature, precipitation and sea-level pressure data, concentrating on the construction of hemispheric and global average temperature series. The key piece of observational evidence in the “global warming debate” is the “global” temper
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Digitaler Journalismus in der Praxisundary. This chapter is oriented towards analysing the impact of the ocean on the atmosphere. The timescales analysed are from the seasonal to the multidecadal. Statistical analysis is playing an important role in advancing our knowledge of air-sea interaction and its influence on worldwide climate
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Digitaler Strukturwandel der Öffentlichkeitcs. A commonly occurring situation is the test of a hypothesis for the difference in means of two fields of data, e.g. the average wintertime temperature anomaly pattern over a net of European stations in each of two sets of GCM simulations. Regardless of whether the problem is approached with the m
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Mark Eisenegger,Marlis Prinzing,Roger Blumt not sufficient, conditions for the usefulness of such forecasts is that they have real skill in discriminating one forecast situation from another and that this skill is known in advance by the user. Two “no-skill” forecast schemes would be random forecasts or constant (e.g. fixed climatology) for
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Methodologie und methodisches Vorgehen,s . where . might be, for instance, the total annual (or monthly) precipitation occurring at a given station, or the maximum annual precipitation occurring in a 24 hour period. Probabilistic models are useful for assessing risk, which, in its simplest form, is the probability of an undesirable outco
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Digitaler Wandel – lean & systematischvisable to split the full phase space into two subspaces. The “signal” space is spanned by few characteristic patterns and is supposed to represent the dynamics of the considered process. The “noise subspace”, on the other hand, is high-dimensional and contains all processes which are purportedly ir
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